- Author
- Year
- 2008
- host editors
-
K. Miyazaki
Y. Hiraga
M. Adachi
Y. Nakajima
M. Tsuzaki - Title
- A multiresolution model of rhythmic expectancy
- Event
- 10th International Conference on Music Perception and Cognition (ICMPC 10), Sapporo, Japan
- Book/source title
- Proceedings of the 10th International Conference on Music Perception and Cognition (ICMPC 10), Sapporo, Japan
- Pages (from-to)
- 360-365
- Publisher
- Sapporo: Hokkaido University
- ISBN
- 9784990420802
- Document type
- Conference contribution
- Faculty
- Interfacultary Research
- Institute
- Institute for Logic, Language and Computation (ILLC)
- Abstract
-
We describe a computational model of rhythmic cognition that predicts expected onset times. A dynamic representation of musical rhythm, the multiresolution analysis using the continuous wavelet transform is used. This representation decomposes the temporal structure of a musical rhythm into time varying frequency components in the rhythmic frequency range (sample rate of 200Hz). Both expressive timing and temporal structure (score times) contribute in an integrated fashion to determine the temporal expectancies. Future expected times are computed using peaks in the accumulation of time-frequency ridges. This accumulation at the edge of the analysed time window forms a dynamic expectancy. We evaluate this model using data sets of expressively timed (or performed) and generated musical rhythms, by its ability to produce expectancy profiles which correspond to metrical profiles. The results show that rhythms of two different meters are able to be distinguished. Such a representation indicates that a bottom-up, data-oriented process (or a non-cognitive model) is able to reveal durations which match metrical structure from realistic musical examples. This then helps to clarify the role of schematic expectancy (top-down) and it's contribution to the formation of musical expectation.
- Link
- Link
- Language
- Undefined/Unknown
- Persistent Identifier
- https://hdl.handle.net/11245/1.297302
- Downloads
Disclaimer/Complaints regulations
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.